When the Algorithm Advises: How Users Trust, Doubt, and Blame Generative AI in Tax Decisions

Generative AI is transforming how professional services are delivered, but how do people actually respond when a machine offers them expert advice? In the article “Beyond Algorithms: A Multifaceted Exploration of Trust, Confidence, and Blame in Generative AI-Assisted Advice”, researchers Nirmalee I. Raddatz, Paul A. Raddatz, Kehinde M. Ogunade, Sohee Kim, and Darsheika L. Williams […]

When Help Hurts: How Generative AI Can Undermine Student Learning

As generative AI becomes more prevalent in education, many see it as a promising assistant for students navigating complex academic tasks. But a new study titled „Generative AI Can Harm Learning: Five Experiments“, authored by Chinmayi Sharma, Anne Spencer Ross, and Paul V. Timmers and published in Science, raises serious concerns about its unintended consequences. […]

Complement or Substitute? AI’s Dual Impact on Human Skills and Labor Demand

Elina Mäkelä and Fabian Stephany, in their SSRN working paper “Complement or Substitute? How AI Increases the Demand for Human Skills,” provide a comprehensive analysis of how artificial intelligence (AI) reshapes labour markets by examining 12 million online job postings in the U.S. from 2018–2023. Their study tackles a foundational question in the AI discourse: does AI displace […]